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Evaluate, benchmark, and simulate AI agents on the VerifyAX platform.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "VerifyAX" MCP server from askskill: Run: claude mcp add 'io-github-verifyax-mcp-server' -- npx -y @verifyax/mcp-server
Use VerifyAX to evaluate my customer support AI agent and generate a summary based on answer accuracy, response speed, and tool-call success rate.
An evaluation summary with key metrics and the agent’s main issues.
In VerifyAX, compare agent V1, V2, and V3 on the same task set, then output benchmark conclusions and a recommended version.
A comparison report showing each version’s strengths, weaknesses, and final recommendation.
Use VerifyAX to simulate multi-turn user conversations in e-commerce after-sales scenarios and test the agent’s stability and completion rate under complex requests.
A simulation result describing the agent’s performance and risk points in complex conversations.
Fact-check claims, verify citations, and assess source freshness across trusted databases.
Check agent trust, find opportunities, claim work, publish tasks, and manage contracts.
Get verified dependency audit verdicts to assess project component risks quickly.
Verify claims with verdicts, confidence scores, citations, and batch checks.
Checks legal AI outputs for orphan quotes and uncited claims.
Test MCP tools for vulnerabilities and sandbox AI agent calls before deployment.